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EP3059699A3 - Neural network training method and apparatus, and recognition method and apparatus - Google Patents

Neural network training method and apparatus, and recognition method and apparatus Download PDF

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Publication number
EP3059699A3
EP3059699A3 EP15191549.3A EP15191549A EP3059699A3 EP 3059699 A3 EP3059699 A3 EP 3059699A3 EP 15191549 A EP15191549 A EP 15191549A EP 3059699 A3 EP3059699 A3 EP 3059699A3
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EP
European Patent Office
Prior art keywords
neural network
network training
recognition method
training method
time interval
Prior art date
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EP15191549.3A
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German (de)
French (fr)
Other versions
EP3059699B1 (en
EP3059699A2 (en
Inventor
Sang Hyun Yoo
Taesup Moon
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Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
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Publication of EP3059699A2 publication Critical patent/EP3059699A2/en
Publication of EP3059699A3 publication Critical patent/EP3059699A3/en
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Publication of EP3059699B1 publication Critical patent/EP3059699B1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/16Speech classification or search using artificial neural networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • G10L25/30Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Neurology (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

Disclosed is a neural network training method and apparatus, and recognition method and apparatus. The neural network training apparatus receives data and train a neural network based on remaining hidden nodes obtained by excluding a reference hidden node from hidden nodes included in the neural network, wherein the reference hidden node maintains a value in a previous time interval until a subsequent time interval.
EP15191549.3A 2015-02-23 2015-10-27 Neural network training method and recognition apparatus Active EP3059699B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150025077A KR102449837B1 (en) 2015-02-23 2015-02-23 Neural network training method and apparatus, and recognizing method

Publications (3)

Publication Number Publication Date
EP3059699A2 EP3059699A2 (en) 2016-08-24
EP3059699A3 true EP3059699A3 (en) 2016-12-28
EP3059699B1 EP3059699B1 (en) 2020-02-26

Family

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Family Applications (1)

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EP15191549.3A Active EP3059699B1 (en) 2015-02-23 2015-10-27 Neural network training method and recognition apparatus

Country Status (5)

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US (1) US20160247064A1 (en)
EP (1) EP3059699B1 (en)
JP (1) JP6614981B2 (en)
KR (1) KR102449837B1 (en)
CN (1) CN105913121B (en)

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KR102077804B1 (en) * 2017-04-26 2020-04-07 김정희 Method and system for pre-processing machine learning data
WO2018212599A1 (en) * 2017-05-17 2018-11-22 Samsung Electronics Co., Ltd. Super-resolution processing method for moving image and image processing apparatus therefor
WO2019005611A1 (en) * 2017-06-26 2019-01-03 D5Ai Llc Selective training for decorrelation of errors
WO2019060298A1 (en) 2017-09-19 2019-03-28 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement
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KR102057219B1 (en) * 2017-11-21 2019-12-18 연세대학교 산학협력단 Apparatus Detecting I/O Data Saturation and Method thereof
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US11318277B2 (en) 2017-12-31 2022-05-03 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
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JP6574004B2 (en) 2018-01-25 2019-09-11 株式会社モルフォ Calculation method determination system, calculation method determination device, processing device, calculation method determination method, processing method, calculation method determination program, and processing program
US10884769B2 (en) * 2018-02-17 2021-01-05 Adobe Inc. Photo-editing application recommendations
US11036811B2 (en) 2018-03-16 2021-06-15 Adobe Inc. Categorical data transformation and clustering for machine learning using data repository systems
KR102622349B1 (en) 2018-04-02 2024-01-08 삼성전자주식회사 Electronic device and control method thereof
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KR102310490B1 (en) 2018-04-27 2021-10-08 한국과학기술원 The design of GRU-based cell structure robust to missing value and noise of time-series data in recurrent neural network
KR102177728B1 (en) 2018-05-25 2020-11-12 서강대학교 산학협력단 Data augmentation method and apparatus using convolution neural network
WO2020056418A1 (en) 2018-09-14 2020-03-19 Neuroenhancement Lab, LLC System and method of improving sleep
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Publication number Publication date
KR20160102690A (en) 2016-08-31
CN105913121B (en) 2021-08-10
JP2016157426A (en) 2016-09-01
EP3059699B1 (en) 2020-02-26
KR102449837B1 (en) 2022-09-30
EP3059699A2 (en) 2016-08-24
CN105913121A (en) 2016-08-31
US20160247064A1 (en) 2016-08-25
JP6614981B2 (en) 2019-12-04

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